27 search results - page 1 / 6 » Class Imbalances versus Class Overlapping: An Analysis of a ... |
MICAI
2004
Springer
13 years 10 months ago
2004
Springer
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
SBIA
2004
Springer
13 years 10 months ago
2004
Springer
One of the main objectives of a Machine Learning – ML – system is to induce a classifier that minimizes classification errors. Two relevant topics in ML are the understanding...
DATAMINE
2008
13 years 4 months ago
2008
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
AI
2007
Springer
13 years 11 months ago
2007
Springer
Agent competition and coordination are two classical and most important tasks in multiagent systems. In recent years, there was a number of learning algorithms proposed to resolve ...